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substantially reduces GHG emissions, reliance on a carbon intensive electricity grid remains a key environmental challenge. In this thesis, optimization tools will be used to determine the optimal design and
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support the development of a European energy system model by benchmarking future technologies and optimizing their representation within the FINE optimization modelling framework ( https://github.com/FZJ
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Your Job: Among other applications, optimal control theory has proven its utility for the optimal calibration of quantum gates early on and has since been used routinely in experiments
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relevant parameters for force modeling Simulate machining forces using an existing modelling framework Create an optimized CAM plan utilizing predicted forces What you bring to the table You are studying
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gas diffusion layers to supplement or replace conventional catalyst layers. The aim is to establish marine microbial consortia that optimally support H2 production under the conditions prevalent in
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products and processes. The Competence Center »Energy Management and Control« develops innovative solutions for the economically and technically optimal operation of highly complex energy systems. We develop
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various aspects of QC ranging from quantum chemistry to optimization and machine learning topics. We offer interested students to participate in this cutting-edge research via master thesis projects in
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« department, we deal with technologies, processes and methods for optimizing production processes as well as quality assurance in manufacturing. In the »AGILEHAND« research project funded by the European Union
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and design. One of the main focuses of applied research at Fraunhofer UMSICHT is the development and optimization of energy materials (such as compound-based bipolar plates) as well as cell and stack
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the integration of both Convolutional Neural Networks (CNNs) and Spiking Neural Networks (SNNs). This position will involve training and optimizing these neural networks using Python frameworks, including CUDA